From b017c633c1e3674afe2d0c5020d8493a90f89554 Mon Sep 17 00:00:00 2001 From: Eddie Date: Sat, 24 Oct 2020 02:18:55 -0400 Subject: [PATCH] updated readme --- README.md | 68 +++++- Resources/cities.csv | 548 +++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 615 insertions(+), 1 deletion(-) create mode 100644 Resources/cities.csv diff --git a/README.md b/README.md index 6b120e0..3abdaef 100644 --- a/README.md +++ b/README.md @@ -1 +1,67 @@ -# Web-Design-Challenge \ No newline at end of file +# Web-Design-Challenge - Web Visualization Dashboard (Latitude) + +## Background + +Data is more powerful when we share it with others! Let's take what we've learned about HTML and CSS to create a dashboard showing off the analysis we've done. + +### Before You Begin + +1. Create a new repository for this project called `Web-Design-Challenge`. **Do not add this homework to an existing repository**. + +2. Clone the new repository to your computer. + +3. Inside your local git repository, create a directory for the web challenge. Use a folder name to correspond to the challenge: **WebVisualizations**. + +4. Add your **html** files to this folder as well as your **assets**, **Resources** and **visualizations** folders. + +5. Push the above changes to GitHub or GitLab. + +6. Deploy to GitHub pages. + +## Latitude - Latitude Analysis Dashboard with Attitude + +For this homework we'll be creating a visualization dashboard website using visualizations we've created in a past assignment. Specifically, we'll be plotting [weather data](Resources/cities.csv). + +In building this dashboard, we'll create individual pages for each plot and a means by which we can navigate between them. These pages will contain the visualizations and their corresponding explanations. We'll also have a landing page, a page where we can see a comparison of all of the plots, and another page where we can view the data used to build them. + +### Website Requirements + +The website must consist of 7 pages total, including: + +* A [landing page](#landing-page) containing: + * An explanation of the project. + * Links to each visualizations page. There should be a sidebar containing preview images of each plot, and clicking an image should take the user to that visualization. +* Four [visualization pages](#visualization-pages), each with: + * A descriptive title and heading tag. + * The plot/visualization itself for the selected comparison. + * A paragraph describing the plot and its significance. +* A ["Comparisons" page](#comparisons-page) that: + * Contains all of the visualizations on the same page so we can easily visually compare them. + * Uses a Bootstrap grid for the visualizations. + * The grid must be two visualizations across on screens medium and larger, and 1 across on extra-small and small screens. +* A ["Data" page](#data-page) that: + * Displays a responsive table containing the data used in the visualizations. + * The table must be a bootstrap table component. [Hint](https://getbootstrap.com/docs/4.3/content/tables/#responsive-tables) + * The data must come from exporting the `.csv` file as HTML, or converting it to HTML. Try using a tool you already know, pandas. Pandas has a nifty method approprately called `to_html` that allows you to generate a HTML table from a pandas dataframe. See the documentation [here](https://pandas.pydata.org/pandas-docs/version/0.17.0/generated/pandas.DataFrame.to_html.html) + +The website must, at the top of every page, have a navigation menu that: + +* Has the name of the site on the left of the nav which allows users to return to the landing page from any page. +* Contains a dropdown menu on the right of the navbar named "Plots" that provides a link to each individual visualization page. +* Provides two more text links on the right: "Comparisons," which links to the comparisons page, and "Data," which links to the data page. +* Is responsive (using media queries). The nav must have similar behavior as the screenshots ["Navigation Menu" section](#navigation-menu) (notice the background color change). + +Finally, the website must be deployed to GitHub pages. + +When finished, submit to BootcampSpot the links to 1) the deployed app and 2) the GitHub repository. + +Ensure your repository has regular commits (i.e. 20+ commits) and a thorough README.md file + +### Considerations + +* You may use the [weather data](Resources/cities.csv) or choose another dataset. Alternatively, you may use the included [cities dataset](Resources/cities.csv) and pull the images from the [assets folder](Resources/assets). +* You must use Bootstrap. This includes using the Bootstrap `navbar` component for the header on every page, the bootstrap table component for the data page, and the Bootstrap grid for responsiveness on the comparison page. +* You must deploy your website to GitHub pages, with the website working on a live, publicly accessible URL as a result. +* Be sure to use a CSS media query for the navigation menu. +* Be sure your website works at all window widths/sizes. +* Feel free to take some liberty in the visual aspects, but keep the core functionality the same. \ No newline at end of file diff --git a/Resources/cities.csv b/Resources/cities.csv new file mode 100644 index 0000000..7c70de8 --- /dev/null +++ b/Resources/cities.csv @@ -0,0 +1,548 @@ +City_ID,City,Cloudiness,Country,Date,Humidity,Lat,Lng,Max Temp,Wind Speed +0,jacareacanga,0,BR,1528902000,62,-6.22,-57.76,89.6,6.93 +1,kaitangata,100,NZ,1528905304,94,-46.28,169.85,42.61,5.64 +2,goulburn,20,AU,1528905078,91,-34.75,149.72,44.32,10.11 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